code: def encode(self, column_data):
      column_data = self._clean_col_data(column_data)
      data_array = self._binarizer.transform(column_data)
      return torch.Tensor(data_array)
  
file_path: lightwood/lightwood/encoder/categorical/multihot.py
imports: import torch
  import numpy
  from lightwood.encoder import BaseEncoder
  from sklearn.preprocessing import MultiLabelBinarizer
label_desc: Use image node_id 4 for calling the MultiHotEncoder obj's underlying member method code with example usage: obj.encode(column_data) and returns: torch